Mei‐Chen Lin

2.0k citations
76 papers · 1.4k · h-index 16

Impact in

Papers in

    • Financial Markets and Investment Strategies 26
    • Corporate Finance and Governance 15
    • Auditing, Earnings Management, Governance 12

Mei‐Chen Lin

64 papers receiving 1.3k citations

Peers

Mei‐Chen Lin
Comparison fields: 5 of 109
  • Neuropsychology and Physiological Psychology 69
  • Communication 251
  • Social Psychology 310
  • Sociology and Political Science 614
  • General Energy 13
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Sun Young Lee United States
Megan W. Gerhardt United States
Steffanie L. Wilk United States
Torsten Biemann Germany
Richard Desjardins United States
Jochen I. Menges Switzerland
Nathanael J. Fast United States
Ed Sleebos Netherlands
Jodi S. Goodman United States
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Citations per field
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Citations per year

Countries citing papers authored by Mei‐Chen Lin

Since Specialization
Citations

This map shows the geographic impact of Mei‐Chen Lin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mei‐Chen Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mei‐Chen Lin more than expected).

Fields of papers citing papers by Mei‐Chen Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mei‐Chen Lin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mei‐Chen Lin. The network helps show where Mei‐Chen Lin may publish in the future.

Co-authors

The 25 scholars most cited alongside Mei‐Chen Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mei‐Chen Lin Line = papers co-authored together Mei‐Chen Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004337
2 2005278
3 198198
4 200089
5 200779
6 200045
7 201338
8 201829
9 201627
10 201324
11 201424
12 202023
13 201922
14 202321
15 200819
16 202017
17 200716
18 200914
19 201214
20 201314

About Mei‐Chen Lin

Mei‐Chen Lin is a scholar working on Finance, Accounting, Communication, Neuropsychology and Physiological Psychology and Economics and Econometrics, having authored 76 papers that have together received 1.4k indexed citations. Recurring topics across this work include Financial Markets and Investment Strategies (26 papers), Corporate Finance and Governance (15 papers), Auditing, Earnings Management, Governance (12 papers), Market Dynamics and Volatility (5 papers), Aging and Gerontology Research (5 papers), Social Media and Politics (5 papers), Social and Intergroup Psychology (4 papers) and Stock Market Forecasting Methods (4 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (69 citations), Communication (251 citations), Social Psychology (310 citations), Sociology and Political Science (614 citations) and General Energy (13 citations). Mei‐Chen Lin has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Yan Bing Zhang, Nancy K. Baym, Akihiko Nonaka, Khisu Beom, Jake Harwood, Tsung-Yi Lin, Mei-Mei Chang, Tai‐Hsi Wu, Howard Giles and Andrew M. Ledbetter. Their work appears in journals such as International Review of Financial Analysis, Asia Pacific Management Review, Computers & Education, New Media & Society and Pacific-Basin Finance Journal.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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